computeTraditionalCi: Compute the (traditional) confidence interval

In EmpiricalCalibration: Routines for Performing Empirical Calibration of Observational Study Estimates

Compute the (traditional) confidence interval

Description

computeTraditionalCi computes the traditional confidence interval based on the log of the relative risk and the standard error of the log of the relative risk.

Usage

computeTraditionalCi(logRr, seLogRr, ciWidth = 0.95)

Arguments

logRr	A numeric vector of one or more effect estimates on the log scale
seLogRr	The standard error of the log of the effect estimates. Hint: often the standard error = (log(<lower bound 95 percent confidence interval>) - log(<effect estimate>))/qnorm(0.025)
ciWidth	The width of the confidence interval. Typically this would be .95, for the 95 percent confidence interval.

Value

The point estimate and confidence interval

Examples

data(sccs)
positive <- sccs[sccs$groundTruth == 1, ]
computeTraditionalCi(positive$logRr, positive$seLogRr)

EmpiricalCalibration documentation built on Aug. 9, 2022, 5:07 p.m.